Abstract
The purpose of this chapter is to describe the use of observational methods to assess student engagement. These observational measures range from standardized rating scales of behavior to qualitative studies of classroom context and student engagement. Benefits, limitations, and methodological considerations with observational methods are described. Next, nine observational instruments with indicators of student engagement are presented. These instruments are compared on a variety of dimensions including what is measured, uses, samples, and the extent of reliability and validity of information. Finally, ongoing challenges with the use of observational methods of student engagement are discussed.
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References
Appleton, J. J., Christenson, S. L., Kim, D., & Reschly, A. L. (2006). Measuring cognitive and psychological engagement: Validation of the Student Engagement Instrument. Journal of School Psychology, 44, 427–445. https://doi.org/10.1002/pits.20303
Appleton, J. J., Christenson, S. L., & Furlong, M. J. (2008). Student engagement with school: Critical conceptual and methodological issues of the construct. Psychology in the Schools, 45, 369–386. https://doi.org/10.1002/pits.20303
Azevedo, R. (2015). Defining and measuring engagement and learning in science: Conceptual, theoretical, methodological, and analytical issues. Educational Psychologist, 50, 84–94. https://doi.org/10.1080/00461520.2015.1004069
Baker, R. S. J., Gowda, S. M., Wixon, M., Kalka, J., Wagner, A. Z., Aleven, V., et al. (2012). Towards sensor-free affect detection in cognitive tutor algebra. In K. Yacef, O. Zaïane, H. Hershkovitz, M. Yudelson, & J. Stamper (Eds.), Proceedings of the 5th International Conference on Educational Data Mining (pp. 126–133). International Educational Data Mining Society.
Baker, R. S., Ocumpaugh, J. L., & Andres, J. M. A. L. (2018). BROMP quantitative field observations: A review. In R. Feldman (Ed.), Learning science: Theory, research, and practice. McGraw-Hill.
Bingham, G. E., & Okagaki, L. (2012). Ethnicity and student engagement. In S. L. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 65–95). Springer Science + Business Media.
Briesch, A. M., Hemphill, E. M., Volpe, R. J., & Daniels, B. (2015). An evaluation of observational methods for measuring response to class-wide intervention. School Psychology Quarterly, 30, 37–49. https://doi.org/10.1037/spq0000065
Christ, T. J., Riley-Tillman, T. C., & Chafouleas, S. M. (2009). Foundation for the development and use of Direct Behavior Rating (DBR) to assess and evaluate student behavior. Assessment for Effective Intervention, 34, 201–213. https://doi.org/10.1177/1534508409340390
Corno, L., & Mandinach, E. B. (2004). What have we learned about student engagement in the past twenty years. In D. M. McInerney & S. Van Etten (Eds.), Big theories revisited: Vol 4. Research on sociocultural influences on motivation and learning (pp. 299–328). Information Age Publishing.
Diperna, J. C., Lei, P., Bellinger, J., & Cheng, W. (2016). Effects of a positive behavioral program on student learning. Psychology in the Schools, 53, 189–205. https://doi.org/10.1002/pits.21891
Engle, R. A., & Conant, F. R. (2002). Guiding principles for fostering productive disciplinary engagement: Explaining an emergent argument in a community of learners’ classroom. Cognition and Instruction, 20, 399–483. https://doi.org/10.1207/S1532690XCI2004_1
Ferguson, T. D., Briesch, A. M., Volpe, R. J., Donaldson, A. R., & Feinberg, A. B. (2018). Psychometric considerations for conducting observations using time-sampling procedures. Assessment for Effective Intervention, 44(1), 45–57. https://doi.org/10.1177/1534508417747389
Finn, J. D. (1989). Withdrawing from school. Review of Educational Research, 59, 117–142. https://doi.org/10.3102/00346543059002117
Finn, J. D., & Zimmer, K. (2012). Student engagement: What is it? Why does it matter? In S. L. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 97–131). Springer.
Fredricks, J. (2021). The measurement of student engagement: Methodological advances and comparisons of new self-report measures. In S. Christenson, A. L. Reschy, & C. Wylie (Eds, 2nd edition.), Handbook of research on student engagement (2nd ed). Springer.
Fredricks, J. A., & McColskey, W. (2012). The measurement of student engagement: A comparative analysis of various methods and student self-report instruments. In S. Christenson, A. L. Reschy, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 763–783). Springer.
Fredricks, J. A., Blumenfeld, P. C., & Paris, A. (2004). School engagement: Potential of the concept: State of the evidence. Review of Educational Research, 74, 59–119. https://doi.org/10.3102/00346543074001059
Fredricks, J., & McColskey, W., with Meli, J., Mordica, J., Montrosse, B., & Mooney, K. (2011). Measuring student engagement in upper elementary through high school: a description of 21 instruments. (Issues & Answers Report, REL 2010–No. 098). Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education. Available at http://ies.ed.gov/ncee/edlabs/projects/project.asp?projectID=268
Fredricks, J. A., Hofkens, T., & Wang, M. (2019a). Measuring student engagement: An overview of methods, challenges, and new directions. In A. Renninger & S. Hidi (Eds.), The Cambridge handbook of motivation and learning (pp. 689–712). Cambridge University Press. https://doi.org/10.1017/9781316823279
Fredricks, J., Reschly, A., & Christenson, S. (Eds.). (2019b). Handbook of student engagement interventions: Working with disengaged students. Academic.
Greenwood, C. R., Carta, J., & Atwater, J. (1991). Ecobehavioral analysis in the classroom: Review and implications. Journal of Behavioral Education, 1, 59–77. https://doi.org/10.1007/BF00956754
Gresalfi, M. S. (2009). Taking up opportunities to learn: Constructing dispositions in mathematics classrooms. Journal of the Learning Sciences, 18, 327–369. https://doi.org/10.1080/10508400903013470
Hamre, B. K., Pianta, R. C., & Chomat-Mooney, L. (2009). Conducting classroom observations in school-based research. In L. M. Dinella (Ed.), Conducting science-based psychology research in schools (pp. 79–105). American Psychological Association. https://doi.org/10.1037/11881-004
Henrie, C. R., Halverson, L. R., & Graham, C. R. (2015). Measuring student engagement in technology-mediated learning: A review. Computers and Education, 90, 36–53. https://doi.org/10.1016/j.compedu.2015.09.005
Hintze, J. M., Volpe, R. J., & Shapiro, E. S. (2002). Best practices in the systematic direct observation of student behavior. In A. Thomas & J. Grimes (Eds.), Best practices in school psychology IV (pp. 993–1006). National Association of School Psychologists.
Hofkens, T. L., & Ruzek, E. (2019). Measuring student engagement to inform interventions in schools. In J. Fredricks, A. Reschly, & S. Christenon (Eds.), Handbook of student engagement interventions: Working with disengaged youth (pp. 309–324). Academic.
Kamphaus, R. W., & Dever, B. V. (2016). Behavioral observation and assessment. In J. C. Norcross, G. R. VadenBos, & D. K. Freedheim (Eds.), APA handbook of clinical psychology: Vol. 3 (pp. 17–29). Applications and Methods.
Lawson, M. A., & Lawson, H. A. (2013). New conceptual frameworks for student engagement research, policy, and practice. Review of Educational Research, 83(3), 432–479. https://doi.org/10.3102/0034654313480891
Morris, L. V., Finnegan, C., & Wu, S.-S. (2005). Tracking student behavior, persistence, and achievement in online courses. The Internet and Higher Education, 8, 221–231. https://doi.org/10.1016/j.iheduc.2005.06.009
Mulqueeny, K., Kostyuk, V., Baker, R. S., & Ocumpaugh, J. (2015). Incorporating effective e-learning principles to improve student engagement in middle-school mathematics. International Journal of STEM Education, 2. https://doi.org/10.1186/s40594-015-0028-6
Ocumpaugh, J., Baker, R. S., & Rodrigo, M. M. T. (2015). Baker Rodriguo Occumpaugh monitoring protocol (BROMP) 2.0 technical and training manual. Teachers College, Columbia University and Ateneo Laboratory for the Learning Sciences.
Pianta, R. C., & Hamre, B. K. (2009). Conceptualization, measurement, and improvement of classroom processes: Standardized observation can leverage capacity. Educational Researcher, 38(2), 109–119. https://doi.org/10.3102/0013189X09332374
Pianta, R. C., Hamre, B. K., Haynes, N. J., Mintz, S. L., & La Paro, K. M. (2007). Classroom Assessment Scoring System manual, middle/secondary version. University of Virginia Press.
Pianta, R. C., Hamre, B. K., & Mintz, S. L. (2012). Classroom assessment scoring system (CLASS): Secondary class manual. Teachstone.
Reeve, J., & Tseng, C. M. (2011). Agency as a fourth aspect of students’ engagement during learning activities. Contemporary Educational Psychology, 36(4), 257–267. https://doi.org/10.1016/j.cedpsych.2011.05.002
Reeve, J., Jang, H., Carrell, D., Jeon, S., & Barch, J. (2004). Enhancing students’ engagement by increasing teachers’ autonomy support. Motivation and Emotion, 28, 147–169. https://doi.org/10.1023/B:MOEM.0000032312.95499.6f
Renninger, K. A., & Bachrach, J. E. (2015). Studying triggers for interest and engagement using observational methods. Educational Psychologist, 50, 58–69. https://doi.org/10.1080/00461520.2014.999920
Reynolds, C. Z., & Kampaus, R. W. (2015). Reynolds, intellectual assessment scales (2nd ed.). Psychological Assessment Resources.
Rimm-Kaufman, S. E. (2005). Classroom observation protocol for Early Learning Study (Unpublished protocol). University of Virginia.
Ryu, S., & Lombardi, D. (2015). Coding classroom interactions for collective and individual engagement. Educational Psychologist, 50, 70–83. https://doi.org/10.1080/00461520.2014.1001891
Shapiro, E. S. (2011). Behavioral observation of students in schools. In E. S. Shapiro (Ed.), Academic skills problems fourth edition workbook (pp. 35–56). The Guilford Press.
Shapiro, E. S., & Heick, P. (2004). School psychologist assessment practices in the evaluation of students referred for social/behavioral/emotional problems. Psychology in the Schools, 41, 551–561. https://doi.org/10.1002/pits.10176
Stulman, M. W., Hamre, B. K., Downer, J. T., & Pianta, R. C. (2021). How to select the right observation tool. CASTL, University of Virginia.
Voelkl, K. E. (1997). Identification with school. American Journal of Education, 105, 204–319. https://doi.org/10.1086/444158
Volpe, R. J., & DiPerna, J. C. (2010). Cooperative learning observation code for kids. Unpublished observation code.
Volpe, R. J., & McConaughy, S. H. (2005). Systematic direct observational assessment of student behavior: Its use and interpretation in multiple settings: An introduction to the miniseries. School Psychology Review, 34(4), 451–453. https://doi.org/10.1080/02796015.2005.12088008
Volpe, R. J., DiPerna, J. C., Hintze, J. M., & Shapiro, E. S. (2005). Observing students in classroom settings: A review of seven coding schemes. School Psychology Review, 34(4), 454–474.
Volpe, R., Young, G., Piana, M., & Zaslofsky, A. (2012). Integrating classwide early literacy intervention and behavioral supports: A pilot investigation. Journal of Positive Behavior Interventions, 14, 56–64. https://doi.org/10.1177/1098300711402591
Wang, M. T., Fredricks, J. A., Ye, F., Hofkens, T., & Schall, J. (2019). Conceptualization and assessment of adolescents’ engagement and disengagement in school: A multidimensional school engagement scale. European Journal of Psychological Assessment, 35(4), 592–606. https://doi.org/10.1027/1015-5759/a000431
Waxman, H. S., & Padron, Y. N. (2004). The use of classroom observation to improve student instruction. In H. W. Waxman & R. J. Tharp (Eds.), Observational research in U.S. classrooms: New approaches for understanding cultural and linguistic diversity (pp. 72–96). Cambridge University Press.
Waxman, H. C., Tharp, R. G., & Hilberg, R. S. (2004). Future directions for classroom observation research. In H. C. Waxman, R. S. Hilberg, & R. G. Tharp (Eds.), Observational research in U.S. classrooms: New approaches for understanding cultural and linguistic diversity (pp. 266–277). Cambridge University Press.
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A. Fredricks, J. (2022). Measuring Student Engagement with Observational Techniques. In: Reschly, A.L., Christenson, S.L. (eds) Handbook of Research on Student Engagement. Springer, Cham. https://doi.org/10.1007/978-3-031-07853-8_30
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